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  Published Paper Details:

  Paper Title

Machine Learning for Psychometric Prediction and Psychology

  Authors

  Mayuri Thorat,  Shraddha V. Pandit

  Keywords

Machine learning, psychometrics, psychological prediction, personality traits, cognitive abilities, mental health diagnosis, ethical considerations, neural networks, natural language processing

  Abstract


Due to its capacity to draw insightful conclusions from huge and complicated datasets, machine learning has become increasingly popular in recent years across a variety of sectors. Machine learning approaches have proven beneficial in improving our understanding of and ability to anticipate human behavior and mental processes in the fields of psychometrics and psychological prediction. This study offers an overview of machine learning's uses in psychometrics, emphasizing its benefits for psychological prediction, evaluation, and diagnosis. The paper addresses potential ethical issues as well as the numerous machine learning algorithms used in psychometrics, discussing their benefits and drawbacks. This research tries to demonstrate the transformative impact of machine learning on developing the discipline of psychology through a thorough analysis of existing literature.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2308425

  Paper ID - 242925

  Page Number(s) - d970-d976

  Pubished in - Volume 11 | Issue 8 | August 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Mayuri Thorat,  Shraddha V. Pandit,   "Machine Learning for Psychometric Prediction and Psychology", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 8, pp.d970-d976, August 2023, Available at :http://www.ijcrt.org/papers/IJCRT2308425.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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